Xingxing Wei
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Xingxing Wei 001 (Beihang University, School of Artificial Intelligence, Hangzhou Innovation Institute, Haidian, China)
- Xingxing Wei 002 (Cardiff University, School of Law and Politics, UK)
Bibliography
2026
Breaking Self-Attention Failure: Rethinking Query Initialization for Infrared Small Target Detection.
CoRR, January, 2026
2025
CoRR, December, 2025
CoRR, August, 2025
CoRR, June, 2025
Enhancing Adversarial Robustness of Vision Language Models via Adversarial Mixture Prompt Tuning.
CoRR, May, 2025
When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack.
CoRR, March, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Rethinking Multi-Modal Object Detection From the Perspective of Mono-Modality Feature Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
2024
UniRGB-IR: A Unified Framework for Visible-Infrared Downstream Tasks via Adapter Tuning.
CoRR, 2024
Removal and Selection: Improving RGB-Infrared Object Detection via Coarse-to-Fine Fusion.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Pattern Recognit., July, 2023
CoRR, 2023
CoRR, 2023
$\mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection.
CoRR, 2023
Mitigating the Accuracy-Robustness Trade-off via Multi-Teacher Adversarial Distillation.
CoRR, 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters.
CoRR, 2023
2022
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection.
CoRR, 2022
2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
2017
计算机科学, 2017
2009
Hybrid Game Theory and D-S Evidence Approach to Multiple UCAVs Cooperative Air Combat Decision.
Proceedings of the Advances in Neural Networks, 2009